Poor functional status based on the New York Heart Association classification exposes the coronary patient to an elevated risk of ischemic stroke

Myocardial Ischemia and Diabetes Mellitus: Role of Oxidative Stress in the Connection between Cardiac Metabolism and Coronary Blood Flow

Ischemic heart disease (IHD) has several risk factors, among which diabetes mellitus represents one of the most important. In diabetic patients, the pathophysiology of myocardial ischemia remains unclear yet: some have atherosclerotic plaque which obstructs coronary blood flow, others show myocardial ischemia due to coronary microvascular dysfunction in the absence of plaques in epicardial vessels. In the cross-talk between myocardial metabolism and coronary blood flow (CBF), ion channels have a main role, and, in diabetic patients, they are involved in the pathophysiology of IHD. The exposition to the different cardiovascular risk factors and the ischemic condition determine an imbalance of the redox state, defined as oxidative stress, which shows itself with oxidant accumulation and antioxidant deficiency. In particular, several products of myocardial metabolism, belonging to oxidative stress, may influence ion channel function, altering their capacity to modulate CBF, in response to myocardial metabolism, and predisposing to myocardial ischemia. For this reason, considering the role of oxidative and ion channels in the pathophysiology of myocardial ischemia, it is allowed to consider new therapeutic perspectives in the treatment of IHD.

Associations of mood symptoms with NYHA functional classes in angina pectoris patients: a cross-sectional study

BACKGROUND

Depression and anxiety are prevalent and associated with a worse prognosis in coronary heart disease (CHD) patients. However, the influence of disease severity on mood symptoms is unknown. The specific associations of mood symptoms with NYHA classes remain unexplored.

METHODS

In this cross-sectional study, 443 consecutive inpatients with angina pectoris (AP) confirmed by angiography were included into analysis. Somatic and cognitive symptom scores derived from Patient Health Questionnaire (PHQ-9) and Generalized Anxiety Disorder Scale (GAD-7) were used to assess mood symptoms. Predictors for depression and anxiety with strict and lax standards were compared. We hypothesized NYHA classification to be an indicator of disease severity through analyses with clinical features using ordinal logistic model. Applying both binary and ordinal logistic models, we evaluated the associations of mood symptoms with NYHA classes.

RESULTS

Discrepancy of disease severity existed between the depressed and nondepressed. NYHA classification was proved to be an integrated index under influence of age, coronary stenosis, heart failure and diabetes. NYHA class I and II individuals with AP were at equivalent risk for depression (NYHA II vs I: binary model OR 1.32 (0.59,2.96), p = 0.50; ordinal model OR 1.17 (0.73,1.88), p = 0.52), however NYHA class III/IV patients shared a sharply higher risk (NYHA III/IV vs I: binary model OR 3.32 (1.28,8.61), p = .013; ordinal model OR 3.94 (2.11,7.36), p < .001). Analyses on somatic and cognitive depressive symptoms confirmed this finding and hinted a greater impact of education background on mood when patient's condition is unstable. Anxiety seemed in the whole picture irrelevant with NYHA classes. Comparing with NYHA class I/II, AP patients in NYHA class III/IV tended to be less anxious. However, when CHD became unstable, the calmness may immediately be broken up. A great distinction of the ratio of anxiety and depression symptom scores between NYHA class III/IV stable and unstable AP patients (p = .018) was observed.

CONCLUSIONS

Mood symptoms in CHD patients are to a great extend derived from disease itself. Only for patients with relatively serious physical condition, unexpected discomforts caused by disease notably impact the emotions. Education background tends to influence the mood especially when disease is still unstable.

Depressive Symptoms, Cardiac Disease Severity, and Functional Status in Patients With Coronary Artery Disease (from the Heart and Soul Study)

Patient-reported health status is highly valued as a key measure of health care quality, yet little is known about the extent to which it is determined by subjective perception compared with objective measures of disease severity. We sought to compare the associations of depressive symptoms and objective measures of cardiac disease severity with perceived functional status in patients with stable coronary artery disease. We assessed depressive symptoms, severity of cardiovascular disease, and perceived functional status in a cross-sectional study of 1,023 patients with stable coronary artery disease. We compared the extent to which patient-reported functional status was influenced by depressive symptoms versus objective measures of disease severity. We then evaluated perceived functional status as a predictor of subsequent cardiovascular hospitalizations during 8.8 years of follow-up. Patients with depressive symptoms were more likely to report poor functional status than those without depressive symptoms (44% vs 17%; p <0.001). After adjustment for traditional risk factors and co-morbid conditions, independent predictors of poor functional status were depressive symptoms (odds ratio [OR] 2.68, 95% confidence interval [CI] 1.89 to 3.79), poor exercise capacity (OR 2.30, 95% CI 1.65 to 3.19), and history of heart failure (OR 1.61, 95% CI 1.12 to 2.29). Compared with patients who had class I functional status, those with class II functional status had a 96% greater rate (hazard ratio 1.96, 95% CI 1.15 to 3.34) and those with class III or IV functional status had a 104% greater rate (hazard ratio 2.04, 95% CI 1.12 to 3.73) of hospitalization for HF, adjusted for baseline demographic characteristics, co-morbidities, cardiac disease severity, and depressive symptoms. In conclusion, depressive symptoms and cardiac disease severity were independently associated with patient-reported functional status. This suggests that perceived functional status may be as strongly influenced by depressive symptoms as it is by cardiovascular disease severity.

TNM-like classification: a new proposed method for heart failure staging

Heart Failure (HF) is an acute or chronic syndrome, that causes a lot of damaging effects to every system. The involvement of different systems is variably related to age and others comorbidities. The severity of organ damage is often proportional to the duration of heart failure. The typology of HF and the duration determine which organs will be affected and vice versa the severity of organ damage supplies precious information about prognosis and outcome of patients with heart failure. Moreover, a classification based not only on symptomatic and syndromic typical features of heart failure, but also on functional data of each system, could allow us to apply the most appropriate therapies, to obtain a more accurate prognosis, and to employ necessary and not redundant human and financial resources. With an eye on the TNM staging used in oncology, we drawn up a classification that will consider the different involvement of organs such as lungs, kidneys, and liver in addition to psychological pattern and quality of life in HF patients. For all these reasons, it is our intention to propose a valid and more specific classification available for the clinical staging of HF that takes into account pathophysiological and structural changes that can remark prognosis and management of HF.

Indirect calibration between clinical observers - application to the New York Heart Association functional classification system

Background

Previous studies showed an inter-observer agreement for the NYHA classification of approximately 55%. The aim of this study was to calibrate the New York Heart Association (NYHA) classification system between observers, increasing its reliability.

Results

Among 1136 community-dwellers in Porto, Portugal, aged ≥ 45 years, 265 reporting breathlessness answered a 4-item questionnaire to characterize symptom severity. The questionnaire was administered by 7 physicians who also classified the subject's functional capacity according to NYHA. Each subject was assessed by one physician. We calibrated NYHA classifications by the concurrent method, using 1-parameter logistic graded response model. Discrepancies between observers were assessed by differences in ability thresholds between NYHA classes I-II and II-III. The ability estimated by the model was used to predict the NYHA classification for each observer.

Estimates of the first and second thresholds for each observer ranged from -1.92 to 0.46 and from 1.42 to 2.30, respectively. The agreement between estimated ability and the observers' NYHA classification was 88% (kappa = 0.61).

Conclusions

The study objectively indicates the main reason why several studies have reported low inter-observer is the existence of discrepant thresholds between observers in the definition of NYHA classes. The concurrent method can be used to minimize the reliability problem of NYHA classification.